DBMS > H2 vs. SWC-DB vs. TerminusDB vs. TigerGraph

System Properties Comparison H2 vs. SWC-DB vs. TerminusDB vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A high performance, scalable Wide Column DBMS

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Relational DBMS

Wide column store

Graph DBMS

Secondary database models

Spatial DBMS

Time Series DBMS

Document store
RDF store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	7.57
Rank	#47	Overall
	#30	Relational DBMS

Score	0.01
Rank	#378	Overall
	#13	Wide column stores

Score	0.19
Rank	#311	Overall
	#27	Graph DBMS

Score	1.44
Rank	#152	Overall
	#14	Graph DBMS

Website

www.h2database.com

github.com/kashirin-alex/swc-db
www.swcdb.org

terminusdb.com

www.tigergraph.com

Technical documentation

www.h2database.com/html/main.html

terminusdb.github.io/terminusdb/#

docs.tigergraph.com

Developer

Thomas Mueller

Alex Kashirin

DataChemist Ltd.

Initial release

2005

2020

2018

2017

Current release

2.2.220, July 2023

0.5, April 2021

11.0.0, January 2023

License

Commercial or Open Source

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

GPL V3

Open Source

GPL V3

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Prolog, Rust

C++

Server operating systems

All OS with a Java VM

Linux

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

SQL-like query language (WOQL)

SQL-like query language (GSQL)

APIs and other access methods

JDBC
ODBC

Proprietary protocol
Thrift

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

Java

C++

JavaScript
Python

C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Graph Partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Role-based access control

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